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20112026
most citedMaaSDB: Spatial Databases in the Era of Large Language Models (Vision Paper)

10 citations · 35 across the 20 of their papers we have counts for

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6 papers · 1 filter

cs.DB2024

DeepMDV: Global Spatial Matching for Multi-depot Vehicle Routing Problems

Saeed Nasehi, Farhana Choudhury, Egemen Tanin +1

The rapid growth of online retail and e-commerce has made effective and efficient Vehicle Routing Problem (VRP) solutions essential. To meet rising demand, companies are adding mor…

cs.DB2023

Trajectory Similarity Measurement: An Efficiency Perspective

Yanchuan Chang, Egemen Tanin, Gao Cong +2

Trajectories that capture object movement have numerous applications, in which similarity computation between trajectories often plays a key role. Traditionally, the similarity bet…

cs.DB2023★ 10 cited

MaaSDB: Spatial Databases in the Era of Large Language Models (Vision Paper)

Jianzhong Qi, Zuqing Li, Egemen Tanin

Large language models (LLMs) are advancing rapidly. Such models have demonstrated strong capabilities in learning from large-scale (unstructured) text data and answering user queri…

cs.DB2022★ 3 cited

Contrastive Trajectory Similarity Learning with Dual-Feature Attention

Yanchuan Chang, Jianzhong Qi, Yuxuan Liang +1

Trajectory similarity measures act as query predicates in trajectory databases, making them the key player in determining the query results. They also have a heavy impact on the qu…

cs.DB2021★ 4 cited

Sub-trajectory Similarity Join with Obfuscation

Yanchuan Chang, Jianzhong Qi, Egemen Tanin +2

User trajectory data is becoming increasingly accessible due to the prevalence of GPS-equipped devices such as smartphones. Many existing studies focus on querying trajectories tha…

cs.DB2011★ 1 cited

Probabilistic Voronoi Diagrams for Probabilistic Moving Nearest Neighbor Queries

Mohammed Eunus Ali, Egemen Tanin, Rui Zhang +1

A large spectrum of applications such as location based services and environmental monitoring demand efficient query processing on uncertain databases. In this paper, we propose th…